Paper Citation Record · LEDGER

Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 33 inbound Pith citation observations for arXiv:2406.07394.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2406.07394 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 33 of 33 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:38:33.952668Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T15:59:56.438855Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9f48eb8c-5b7b-4570-af46-5120351b06a9 · inbound

Efficient Multi-Agent System Training with Data Influence-Oriented Tree Search cites this paper.

Efficient Multi-Agent System Training with Data Influence-Oriented Tree Search Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:07:30.446605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation fbdd7186-1d5c-4594-9b3c-07948ead76ed · inbound

From System 1 to System 2: A Survey of Reasoning Large Language Models cites this paper.

From System 1 to System 2: A Survey of Reasoning Large Language Models Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 133

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T01:36:24.068130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e2c6b26e-99e2-404a-8ff1-d6eedf388ce3 · inbound

SELT: Self-Evaluation Tree Search for LLMs with Task Decomposition cites this paper.

SELT: Self-Evaluation Tree Search for LLMs with Task Decomposition Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T05:38:33.952668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aca6c052-7370-41b5-9be1-b61b192335c7 · inbound

Evaluating Multimodal Large Language Models on Video Captioning via Monte Carlo Tree Search cites this paper.

Evaluating Multimodal Large Language Models on Video Captioning via Monte Carlo Tree Search Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T04:45:49.655855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09eabde7-cfde-42d2-ae9c-2ad25a992f67 · inbound

SANGAM: SystemVerilog Assertion Generation via Monte Carlo Tree Self-Refine cites this paper.

SANGAM: SystemVerilog Assertion Generation via Monte Carlo Tree Self-Refine Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T04:52:57.680654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ed12f59-2c2a-4be0-9baf-e34ad72ae4f7 · inbound

DuaShepherd: Integrating Stepwise Correctness and Potential Rewards for Mathematical Reasoning cites this paper.

DuaShepherd: Integrating Stepwise Correctness and Potential Rewards for Mathematical Reasoning Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T23:35:36.214815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c19c2061-f94a-4c5f-b27d-eccf111c0e47 · inbound

Boosting LLM's Molecular Structure Elucidation with Knowledge Enhanced Tree Search Reasoning cites this paper.

Boosting LLM's Molecular Structure Elucidation with Knowledge Enhanced Tree Search Reasoning Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T21:59:13.605541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3101767-ba83-4287-90e5-94ed395b9614 · inbound

Iterative Zoom-In: Temporal Interval Exploration for Long Video Understanding cites this paper.

Iterative Zoom-In: Temporal Interval Exploration for Long Video Understanding Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 2007

Resolution: unresolved; no resolver link, observed 2026-08-06T21:59:17.224605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52f14644-923a-4aac-9702-1f63c6eee755 · inbound

EduFlow: Advancing MLLMs' Problem-Solving Proficiency through Multi-Stage, Multi-Perspective Critique cites this paper.

EduFlow: Advancing MLLMs' Problem-Solving Proficiency through Multi-Stage, Multi-Perspective Critique Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T18:04:55.362474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5aeb5db2-1b6c-4c40-84b4-26c61b1f9262 · inbound

A Simple "Try Again" Can Elicit Multi-Turn LLM Reasoning cites this paper.

A Simple "Try Again" Can Elicit Multi-Turn LLM Reasoning Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T16:14:06.999304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1ecf1ba-7fac-4019-a561-0bda22fb1dce · inbound

Step-level Verifier-guided Hybrid Test-Time Scaling for Large Language Models cites this paper.

Step-level Verifier-guided Hybrid Test-Time Scaling for Large Language Models Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T15:37:24.957990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 578c5894-73ba-4299-a386-f6c0bea4c18c · inbound

Beyond Surface-Level Detection: Towards Cognitive-Driven Defense Against Jailbreak Attacks via Meta-Operations Reasoning cites this paper.

Beyond Surface-Level Detection: Towards Cognitive-Driven Defense Against Jailbreak Attacks via Meta-Operations Reasoning Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 191

Resolution: unresolved; no resolver link, observed 2026-08-06T04:47:25.659057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a78a6695-8d00-409a-b27a-13042f14688d · inbound

Can Large Models Teach Student Models to Solve Mathematical Problems Like Human Beings? A Reasoning Distillation Method via Multi-LoRA Interaction cites this paper.

Can Large Models Teach Student Models to Solve Mathematical Problems Like Human Beings? A Reasoning Distillation Method via Multi-LoRA Interaction Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-05T19:12:40.852662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9080972-003c-4cd5-a42a-33991ca544a4 · inbound

Efficient Graph Understanding with LLMs via Structured Context Injection cites this paper.

Efficient Graph Understanding with LLMs via Structured Context Injection Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T13:19:49.719782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7449f66d-9235-43f2-b462-499ca818af64 · inbound

Parallel-R1: Towards Parallel Thinking via Reinforcement Learning cites this paper.

Parallel-R1: Towards Parallel Thinking via Reinforcement Learning Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T21:28:51.031284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d77c79e4-847b-43b5-8876-1b723fa07992 · inbound

AdsQA: Towards Advertisement Video Understanding cites this paper.

AdsQA: Towards Advertisement Video Understanding Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-04T20:20:36.977106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2992b6ad-f340-4065-85f9-89513ca16dc4 · inbound

DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search cites this paper.

DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T12:12:35.888849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 93a4c9cb-934a-477b-99fa-9ff8a87a01e7 · inbound

Chain-in-Tree: Back to Sequential Reasoning in LLM Tree Search cites this paper.

Chain-in-Tree: Back to Sequential Reasoning in LLM Tree Search Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T13:11:24.118440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6c0d1bf8-6d4b-40f5-8553-125b013568be · inbound

On the Overscaling Curse of Parallel Thinking: System Efficacy Contradicts Sample Efficiency cites this paper.

On the Overscaling Curse of Parallel Thinking: System Efficacy Contradicts Sample Efficiency Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T10:40:51.323576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7e203e4a-8339-481e-8f50-b0f2ab11aa5e · inbound

ProbeLLM: Automating Principled Diagnosis of LLM Failures cites this paper.

ProbeLLM: Automating Principled Diagnosis of LLM Failures Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 12

Resolution: malformed identifier; no resolver link, observed 2026-08-02T23:43:07.803719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5055cda9-a6f6-47aa-9e3b-c971250a8484 · inbound

Automatically Generating Hard Math Problems from Hypothesis-Driven Error Analysis cites this paper.

Automatically Generating Hard Math Problems from Hypothesis-Driven Error Analysis Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T22:40:49.917598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 8ec343c9-271f-48b0-8ece-0ded54885972 · inbound

Adaptive Test-Time Compute Allocation for Reasoning LLMs via Constrained Policy Optimization cites this paper.

Adaptive Test-Time Compute Allocation for Reasoning LLMs via Constrained Policy Optimization Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:00:22.141710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation cc27ff90-df89-4452-8449-76557cec77f3 · inbound

Bilevel Optimization of Agent Skills via Monte Carlo Tree Search cites this paper.

Bilevel Optimization of Agent Skills via Monte Carlo Tree Search Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T09:18:31.365598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5116dc0b-fb27-4961-a164-2ac2618dc397 · inbound

When to Vote, When to Rewrite: Disagreement-Guided Strategy Routing for Test-Time Scaling cites this paper.

When to Vote, When to Rewrite: Disagreement-Guided Strategy Routing for Test-Time Scaling Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:26:25.785229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0a5e149a-ff73-4cf9-84a2-813865ceed17 · inbound

When to Vote, When to Rewrite: Disagreement-Guided Strategy Routing for Test-Time Scaling cites this paper.

When to Vote, When to Rewrite: Disagreement-Guided Strategy Routing for Test-Time Scaling Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T05:23:31.355740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1aafabd6-89a3-45ae-bd52-dc6db2eff0d3 · inbound

Online Self-Calibration Against Hallucination in Vision-Language Models cites this paper.

Online Self-Calibration Against Hallucination in Vision-Language Models Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:16:10.747659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1bc86d6a-f596-44a6-b2ff-b919062898c5 · inbound

Position: How can Graphs Help Large Language Models? cites this paper.

Position: How can Graphs Help Large Language Models? Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 57

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T06:10:42.924197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b4e7df69-40bd-4c04-96a5-7fbf660f9760 · inbound

Regulating Branch Parallelism in LLM Serving cites this paper.

Regulating Branch Parallelism in LLM Serving Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:50:58.401589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 34b0cb2a-c2e7-48e9-9a84-4477636c9292 · inbound

Alpha-RTL: Test-Time Training for RTL Hardware Optimization cites this paper.

Alpha-RTL: Test-Time Training for RTL Hardware Optimization Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-02T07:06:44.169477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d91a1a4e-a73f-43fb-9ca5-7224ad972b65 · inbound

Step-by-Step Optimization-like Reasoning in LLMs over Expanding Search Spaces cites this paper.

Step-by-Step Optimization-like Reasoning in LLMs over Expanding Search Spaces Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T08:46:48.939754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ddeaee63-054b-49ad-bc4e-03eb1403b852 · inbound

Optimizing CUDA like a Human: Micro-Profiling Tools as Expert Surrogates for LLM-Based GPU Kernel Optimization cites this paper.

Optimizing CUDA like a Human: Micro-Profiling Tools as Expert Surrogates for LLM-Based GPU Kernel Optimization Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T15:59:56.440376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 18396e6c-741a-40bc-8a04-f694d48958be · inbound

Scientific discovery as meta-optimization: a combinatorial optimization case study cites this paper.

Scientific discovery as meta-optimization: a combinatorial optimization case study Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T13:29:51.435978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9743939e-5216-4144-93a6-0009a22b48f9 · inbound

Fishing Out Free Riders: Shapley-Based Reward Attribution for Parallel Reasoning via Reinforcement Learning cites this paper.

Fishing Out Free Riders: Shapley-Based Reward Attribution for Parallel Reasoning via Reinforcement Learning Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T13:54:18.136663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.